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Abstract #2761

Lateralization of Temporal Lobe Epilepsy Using Multimodal Neuroimaging Models

Mohammad-Reza Nazem-Zadeh1, Kost V. Elisevich2, and Hamid Soltanian-Zadeh 3,4

1Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 2Clinical Neurosciences, Spectrum Health Medical Group, Grand Rapids, MI, United States, 3Radiology and Research Administration, Henry Ford Health System, Detroit, MI, United States, 4Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer, University of Tehran, Tehran, Tehran, Iran (Islamic Republic of)

In this work, multivariate response-driven lateralization models were developed using MRI, DTI, and SPECT attributes and logistic regression, to determine the side of epileptogenicity in TLE patients. The proposed response models were capable of handling missing data points using imputation of missing attributes by their mean values measured on a control cohort. Additionally, the proposed response model can be further generalized by integrating attributes of additional modalities (such as PET- positron emission tomography) into the process. Increased reliability in lateralizing TLE cases using the proposed response model reinforces the notion that ECoG in a number of cases may be circumvented.

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